Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "193"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 193 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 137 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 135 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 193, Node N16:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459954 digital_ok 100.00% 0.00% 0.00% 0.00% - - 7.586619 0.673781 5.565457 2.125544 8.022530 2.779532 -4.626355 -0.178334 0.5676 0.6125 0.4238 nan nan
2459953 digital_ok 100.00% 0.00% 0.00% 0.00% - - 7.066357 0.215694 5.686262 1.692641 8.874684 1.674063 -3.082633 0.870714 0.5756 0.6194 0.4194 nan nan
2459952 digital_ok 100.00% 0.00% 0.00% 0.00% - - 8.065593 0.811645 5.732581 2.100175 6.832706 1.941058 -5.130520 0.361359 0.5757 0.6188 0.4214 nan nan
2459951 digital_ok 100.00% 0.00% 0.00% 0.00% - - 6.031680 0.122055 4.917246 1.125962 6.153898 1.101030 -5.360827 -0.912536 0.5841 0.6328 0.4257 nan nan
2459950 digital_ok 100.00% 0.00% 0.00% 0.00% - - 7.430785 0.905237 5.207182 1.727845 8.001280 2.281799 -3.154879 -0.797781 0.5795 0.6287 0.4319 nan nan
2459949 digital_ok 100.00% 0.00% 0.00% 0.00% - - 7.266617 0.040787 5.133711 1.070133 6.805816 1.303985 -3.159562 0.469969 0.5730 0.6153 0.4295 nan nan
2459918 digital_ok 100.00% 0.00% 0.00% 0.00% - - 7.949566 0.320068 4.373400 1.019082 5.471017 0.006854 -1.838860 -0.478150 0.5987 0.6489 0.4347 nan nan
2459917 digital_ok 100.00% 0.00% 0.00% 0.00% - - 6.944097 0.112835 4.769569 1.329199 3.711743 -0.279104 -4.376543 0.141692 0.6434 0.6898 0.5009 nan nan
2459916 digital_ok 100.00% 0.00% 0.00% 0.00% - - 6.830381 0.110221 3.951701 0.699971 5.661671 -0.145139 -4.606181 -0.149306 0.5991 0.6528 0.4406 nan nan
2459915 digital_ok 100.00% 0.00% 0.00% 0.00% - - 7.297943 0.583750 5.309153 1.793038 6.377683 1.800340 0.641568 -0.517170 0.6319 0.6845 0.4074 nan nan
2459914 digital_ok 100.00% 0.00% 0.00% 0.00% - - 7.526320 0.613388 6.054621 2.133550 6.896548 1.409346 5.141694 0.269426 0.6531 0.7102 0.3692 nan nan
2459913 digital_ok 100.00% 0.00% 0.00% 0.00% - - 7.902721 0.360878 5.122978 1.235539 7.161248 1.117427 1.463231 -0.187089 0.6043 0.6471 0.4375 nan nan
2459876 not_connected 100.00% 0.00% 0.00% 0.00% - - 9.534848 2.251973 42.937356 26.034257 26.033159 16.985320 -7.858508 -1.358243 0.6294 0.6503 0.4285 nan nan
2459875 not_connected 100.00% 0.00% 0.00% 0.00% - - 10.525572 1.615870 58.096360 35.955273 11.715658 5.269045 -2.031571 2.549477 0.6288 0.6802 0.4439 nan nan
2459874 not_connected 100.00% 0.00% 0.00% 0.00% - - 14.464054 2.140694 29.737948 16.621577 15.644978 9.444759 -6.048719 0.102853 0.6216 0.6475 0.4239 nan nan
2459873 not_connected 100.00% 0.00% 0.00% 0.00% - - 10.724909 1.195713 40.417573 22.774727 6.192315 2.179806 -3.951083 0.109015 0.6259 0.6450 0.4200 nan nan
2459872 not_connected 100.00% 0.00% 0.00% 0.00% - - 9.746468 1.485439 54.002276 33.056434 17.536889 9.472775 -4.822167 -0.433612 0.6251 0.6490 0.4285 nan nan
2459871 not_connected 100.00% 0.00% 0.00% 0.00% - - 7.963522 1.094925 54.621344 33.754879 16.014037 9.041217 -3.269394 -0.896064 0.6267 0.6429 0.4264 nan nan
2459870 not_connected 100.00% 0.00% 0.00% 0.00% - - 12.574494 2.047497 39.325028 22.286509 9.381376 4.071909 -6.670072 -0.297946 0.6308 0.6517 0.4327 nan nan
2459869 not_connected 100.00% 0.00% 0.00% 0.00% - - 10.718363 1.790995 38.168686 21.759365 13.947540 4.536181 0.880332 0.951069 0.6417 0.6734 0.4290 nan nan
2459868 not_connected 100.00% 0.00% 0.00% 0.00% - - 11.895061 2.483904 62.012592 38.535546 9.660038 5.135769 -7.336948 -1.007841 0.6254 0.6463 0.4409 nan nan
2459867 not_connected 100.00% 0.00% 0.00% 0.00% - - 8.497590 1.056352 48.862249 27.892358 5.127659 1.383337 -4.968604 -0.234554 0.6391 0.6519 0.4420 nan nan
2459866 not_connected 100.00% 0.00% 0.00% 0.00% - - 9.374343 1.730649 45.594071 27.963016 5.787089 2.271993 -3.246953 -1.173621 0.6403 0.6530 0.4336 nan nan
2459865 not_connected 100.00% 0.00% 0.00% 0.00% - - 9.320221 1.284298 60.352554 34.623085 13.359738 4.464874 11.986071 6.096808 0.6595 0.6698 0.4169 nan nan
2459864 not_connected 100.00% 0.00% 0.00% 0.00% - - 12.138603 1.861974 28.153948 16.361781 7.217470 2.397709 -7.628299 1.015387 0.6427 0.6507 0.4517 nan nan
2459863 not_connected 100.00% 0.00% 0.00% 0.00% - - 7.709000 0.188639 5.444577 1.881038 2.472098 -0.698821 -4.392338 -0.283162 0.6359 0.6375 0.4428 nan nan
2459862 not_connected 100.00% 0.00% 0.00% 0.00% - - 9.592175 1.130244 34.111932 21.102687 10.693847 5.541681 -3.406624 -0.482516 0.6149 0.6673 0.4576 nan nan
2459861 not_connected 100.00% 0.00% 0.00% 0.00% - - 5.430560 -0.450214 3.924463 0.043719 1.770414 -1.417377 -4.612895 -0.543161 0.6546 0.6481 0.4518 nan nan
2459860 not_connected 100.00% 0.00% 0.00% 0.00% - - 6.947070 0.771349 25.752949 16.177223 13.221566 6.671216 -3.597355 -1.057142 0.6578 0.6520 0.4501 nan nan
2459859 not_connected 100.00% 0.00% 0.00% 0.00% - - 5.038696 -0.396820 4.020718 0.438765 1.750461 -2.009488 -3.194605 -1.184726 0.6622 0.6561 0.4476 nan nan
2459858 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.369310 -0.409105 3.840205 0.170526 1.683076 -2.180717 -4.919768 -1.079310 0.6746 0.6639 0.4590 2.554235 2.535233
2459857 not_connected 100.00% 0.00% 0.00% 0.00% - - 18.318331 17.990711 23.089285 18.126771 10.125574 100.148981 -11.939540 10.732531 0.6700 0.6799 0.4567 nan nan
2459856 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.096414 1.296521 23.465337 14.759859 6.000535 3.616836 -4.665199 -1.652871 0.6604 0.6790 0.4484 2.619419 2.797725
2459855 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.208719 1.657070 26.684271 16.842437 2.151837 0.787544 -3.183822 -0.985429 0.6328 0.6947 0.4870 2.537012 2.711368
2459854 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.236197 0.533822 21.864580 13.141439 2.911457 0.842249 -4.548063 -1.046801 0.6596 0.7196 0.4884 2.637525 2.722886
2459853 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.949639 1.140003 27.982061 18.076573 6.357228 2.711129 -5.757760 -1.361464 0.6897 0.6689 0.4680 2.882133 2.916085
2459852 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.640062 3.158326 28.070139 17.020841 14.166186 7.818951 16.070877 11.804487 0.7582 0.8014 0.3419 4.871685 5.367064
2459851 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459850 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.640245 1.883720 26.494214 16.815634 8.958836 7.053869 -2.074525 7.310098 0.6951 0.7390 0.3944 2.273389 2.396277
2459849 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.024896 1.820623 51.366547 33.408243 6.141154 3.355473 -4.578856 -0.780441 0.6887 0.7288 0.4031 3.050651 3.197142
2459848 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459847 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.222930 1.541895 35.589089 23.138087 18.792445 10.512697 -3.709778 -0.824812 0.6773 0.6621 0.4721 6.085298 5.653795

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 193: 2459954

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Temporal Variability 8.022530 0.673781 7.586619 2.125544 5.565457 2.779532 8.022530 -0.178334 -4.626355

Antenna 193: 2459953

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Temporal Variability 8.874684 0.215694 7.066357 1.692641 5.686262 1.674063 8.874684 0.870714 -3.082633

Antenna 193: 2459952

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Shape 8.065593 0.811645 8.065593 2.100175 5.732581 1.941058 6.832706 0.361359 -5.130520

Antenna 193: 2459951

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Temporal Variability 6.153898 0.122055 6.031680 1.125962 4.917246 1.101030 6.153898 -0.912536 -5.360827

Antenna 193: 2459950

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Temporal Variability 8.001280 0.905237 7.430785 1.727845 5.207182 2.281799 8.001280 -0.797781 -3.154879

Antenna 193: 2459949

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Shape 7.266617 7.266617 0.040787 5.133711 1.070133 6.805816 1.303985 -3.159562 0.469969

Antenna 193: 2459918

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Shape 7.949566 0.320068 7.949566 1.019082 4.373400 0.006854 5.471017 -0.478150 -1.838860

Antenna 193: 2459917

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Shape 6.944097 0.112835 6.944097 1.329199 4.769569 -0.279104 3.711743 0.141692 -4.376543

Antenna 193: 2459916

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Shape 6.830381 6.830381 0.110221 3.951701 0.699971 5.661671 -0.145139 -4.606181 -0.149306

Antenna 193: 2459915

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Shape 7.297943 7.297943 0.583750 5.309153 1.793038 6.377683 1.800340 0.641568 -0.517170

Antenna 193: 2459914

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Shape 7.526320 7.526320 0.613388 6.054621 2.133550 6.896548 1.409346 5.141694 0.269426

Antenna 193: 2459913

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 digital_ok ee Shape 7.902721 0.360878 7.902721 1.235539 5.122978 1.117427 7.161248 -0.187089 1.463231

Antenna 193: 2459876

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 42.937356 9.534848 2.251973 42.937356 26.034257 26.033159 16.985320 -7.858508 -1.358243

Antenna 193: 2459875

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 58.096360 10.525572 1.615870 58.096360 35.955273 11.715658 5.269045 -2.031571 2.549477

Antenna 193: 2459874

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 29.737948 14.464054 2.140694 29.737948 16.621577 15.644978 9.444759 -6.048719 0.102853

Antenna 193: 2459873

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 40.417573 10.724909 1.195713 40.417573 22.774727 6.192315 2.179806 -3.951083 0.109015

Antenna 193: 2459872

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 54.002276 1.485439 9.746468 33.056434 54.002276 9.472775 17.536889 -0.433612 -4.822167

Antenna 193: 2459871

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 54.621344 1.094925 7.963522 33.754879 54.621344 9.041217 16.014037 -0.896064 -3.269394

Antenna 193: 2459870

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 39.325028 12.574494 2.047497 39.325028 22.286509 9.381376 4.071909 -6.670072 -0.297946

Antenna 193: 2459869

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 38.168686 10.718363 1.790995 38.168686 21.759365 13.947540 4.536181 0.880332 0.951069

Antenna 193: 2459868

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 62.012592 11.895061 2.483904 62.012592 38.535546 9.660038 5.135769 -7.336948 -1.007841

Antenna 193: 2459867

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 48.862249 8.497590 1.056352 48.862249 27.892358 5.127659 1.383337 -4.968604 -0.234554

Antenna 193: 2459866

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 45.594071 1.730649 9.374343 27.963016 45.594071 2.271993 5.787089 -1.173621 -3.246953

Antenna 193: 2459865

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 60.352554 9.320221 1.284298 60.352554 34.623085 13.359738 4.464874 11.986071 6.096808

Antenna 193: 2459864

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 28.153948 1.861974 12.138603 16.361781 28.153948 2.397709 7.217470 1.015387 -7.628299

Antenna 193: 2459863

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Shape 7.709000 7.709000 0.188639 5.444577 1.881038 2.472098 -0.698821 -4.392338 -0.283162

Antenna 193: 2459862

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 34.111932 9.592175 1.130244 34.111932 21.102687 10.693847 5.541681 -3.406624 -0.482516

Antenna 193: 2459861

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Shape 5.430560 -0.450214 5.430560 0.043719 3.924463 -1.417377 1.770414 -0.543161 -4.612895

Antenna 193: 2459860

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 25.752949 6.947070 0.771349 25.752949 16.177223 13.221566 6.671216 -3.597355 -1.057142

Antenna 193: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Shape 5.038696 5.038696 -0.396820 4.020718 0.438765 1.750461 -2.009488 -3.194605 -1.184726

Antenna 193: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Shape 5.369310 -0.409105 5.369310 0.170526 3.840205 -2.180717 1.683076 -1.079310 -4.919768

Antenna 193: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected nn Temporal Variability 100.148981 17.990711 18.318331 18.126771 23.089285 100.148981 10.125574 10.732531 -11.939540

Antenna 193: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 23.465337 9.096414 1.296521 23.465337 14.759859 6.000535 3.616836 -4.665199 -1.652871

Antenna 193: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 26.684271 1.657070 11.208719 16.842437 26.684271 0.787544 2.151837 -0.985429 -3.183822

Antenna 193: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 21.864580 0.533822 11.236197 13.141439 21.864580 0.842249 2.911457 -1.046801 -4.548063

Antenna 193: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 27.982061 1.140003 7.949639 18.076573 27.982061 2.711129 6.357228 -1.361464 -5.757760

Antenna 193: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 28.070139 8.640062 3.158326 28.070139 17.020841 14.166186 7.818951 16.070877 11.804487

Antenna 193: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 193: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 26.494214 8.640245 1.883720 26.494214 16.815634 8.958836 7.053869 -2.074525 7.310098

Antenna 193: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 51.366547 10.024896 1.820623 51.366547 33.408243 6.141154 3.355473 -4.578856 -0.780441

Antenna 193: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected nn Shape nan nan nan inf inf nan nan nan nan

Antenna 193: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
193 N16 not_connected ee Power 35.589089 1.541895 9.222930 23.138087 35.589089 10.512697 18.792445 -0.824812 -3.709778
In [ ]: